{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install -q langchain-community xmltodict pandas matplotlib seaborn wordcloud google-generativeai langchain-google-genai\n",
        "\n",
        "import os\n",
        "import re\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from datetime import datetime, timedelta\n",
        "from collections import Counter\n",
        "from wordcloud import WordCloud\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "from langchain_community.tools.pubmed.tool import PubmedQueryRun\n",
        "from langchain_google_genai import ChatGoogleGenerativeAI\n",
        "from langchain.agents import initialize_agent, Tool\n",
        "from langchain.agents import AgentType"
      ],
      "metadata": {
        "id": "kfJl7vqlW8VQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class AdvancedPubMedResearcher:\n",
        "    \"\"\"Advanced PubMed research assistant with analysis capabilities\"\"\"\n",
        "\n",
        "    def __init__(self, gemini_api_key=None):\n",
        "        \"\"\"Initialize the researcher with optional Gemini integration\"\"\"\n",
        "        self.pubmed_tool = PubmedQueryRun()\n",
        "        self.research_cache = {}\n",
        "\n",
        "        if gemini_api_key:\n",
        "            os.environ[\"GOOGLE_API_KEY\"] = gemini_api_key\n",
        "            self.llm = ChatGoogleGenerativeAI(\n",
        "                model=\"gemini-1.5-flash\",\n",
        "                temperature=0,\n",
        "                convert_system_message_to_human=True\n",
        "            )\n",
        "            self.agent = self._create_agent()\n",
        "        else:\n",
        "            self.llm = None\n",
        "            self.agent = None\n",
        "\n",
        "    def _create_agent(self):\n",
        "        \"\"\"Create LangChain agent with PubMed tool\"\"\"\n",
        "        tools = [\n",
        "            Tool(\n",
        "                name=\"PubMed Search\",\n",
        "                func=self.pubmed_tool.invoke,\n",
        "                description=\"Search PubMed for biomedical literature. Use specific terms.\"\n",
        "            )\n",
        "        ]\n",
        "\n",
        "        return initialize_agent(\n",
        "            tools,\n",
        "            self.llm,\n",
        "            agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,\n",
        "            verbose=True\n",
        "        )\n",
        "\n",
        "    def search_papers(self, query, max_results=5):\n",
        "        \"\"\"Search PubMed and parse results\"\"\"\n",
        "        print(f\"🔍 Searching PubMed for: '{query}'\")\n",
        "\n",
        "        try:\n",
        "            results = self.pubmed_tool.invoke(query)\n",
        "            papers = self._parse_pubmed_results(results)\n",
        "\n",
        "            self.research_cache[query] = {\n",
        "                'papers': papers,\n",
        "                'timestamp': datetime.now(),\n",
        "                'query': query\n",
        "            }\n",
        "\n",
        "            print(f\"✅ Found {len(papers)} papers\")\n",
        "            return papers\n",
        "\n",
        "        except Exception as e:\n",
        "            print(f\"❌ Error searching PubMed: {str(e)}\")\n",
        "            return []\n",
        "\n",
        "    def _parse_pubmed_results(self, results):\n",
        "        \"\"\"Parse PubMed search results into structured data\"\"\"\n",
        "        papers = []\n",
        "\n",
        "        publications = results.split('\\n\\nPublished: ')[1:]\n",
        "\n",
        "        for pub in publications:\n",
        "            try:\n",
        "                lines = pub.strip().split('\\n')\n",
        "\n",
        "                pub_date = lines[0] if lines else \"Unknown\"\n",
        "\n",
        "                title_line = next((line for line in lines if line.startswith('Title: ')), '')\n",
        "                title = title_line.replace('Title: ', '') if title_line else \"Unknown Title\"\n",
        "\n",
        "                summary_start = None\n",
        "                for i, line in enumerate(lines):\n",
        "                    if 'Summary::' in line:\n",
        "                        summary_start = i + 1\n",
        "                        break\n",
        "\n",
        "                summary = \"\"\n",
        "                if summary_start:\n",
        "                    summary = ' '.join(lines[summary_start:])\n",
        "\n",
        "                papers.append({\n",
        "                    'date': pub_date,\n",
        "                    'title': title,\n",
        "                    'summary': summary,\n",
        "                    'word_count': len(summary.split()) if summary else 0\n",
        "                })\n",
        "\n",
        "            except Exception as e:\n",
        "                print(f\"⚠️ Error parsing paper: {str(e)}\")\n",
        "                continue\n",
        "\n",
        "        return papers\n",
        "\n",
        "    def analyze_research_trends(self, queries):\n",
        "        \"\"\"Analyze trends across multiple research topics\"\"\"\n",
        "        print(\"📊 Analyzing research trends...\")\n",
        "\n",
        "        all_papers = []\n",
        "        topic_counts = {}\n",
        "\n",
        "        for query in queries:\n",
        "            papers = self.search_papers(query, max_results=3)\n",
        "            topic_counts[query] = len(papers)\n",
        "\n",
        "            for paper in papers:\n",
        "                paper['topic'] = query\n",
        "                all_papers.append(paper)\n",
        "\n",
        "        df = pd.DataFrame(all_papers)\n",
        "\n",
        "        if df.empty:\n",
        "            print(\"❌ No papers found for analysis\")\n",
        "            return None\n",
        "\n",
        "        self._create_visualizations(df, topic_counts)\n",
        "\n",
        "        return df\n",
        "\n",
        "    def _create_visualizations(self, df, topic_counts):\n",
        "        \"\"\"Create research trend visualizations\"\"\"\n",
        "        plt.style.use('seaborn-v0_8')\n",
        "        fig, axes = plt.subplots(2, 2, figsize=(15, 12))\n",
        "        fig.suptitle('PubMed Research Analysis Dashboard', fontsize=16, fontweight='bold')\n",
        "\n",
        "        topics = list(topic_counts.keys())\n",
        "        counts = list(topic_counts.values())\n",
        "\n",
        "        axes[0,0].bar(range(len(topics)), counts, color='skyblue', alpha=0.7)\n",
        "        axes[0,0].set_xlabel('Research Topics')\n",
        "        axes[0,0].set_ylabel('Number of Papers')\n",
        "        axes[0,0].set_title('Papers Found by Topic')\n",
        "        axes[0,0].set_xticks(range(len(topics)))\n",
        "        axes[0,0].set_xticklabels([t[:20]+'...' if len(t)>20 else t for t in topics], rotation=45, ha='right')\n",
        "\n",
        "        if 'word_count' in df.columns and not df['word_count'].empty:\n",
        "            axes[0,1].hist(df['word_count'], bins=10, color='lightcoral', alpha=0.7)\n",
        "            axes[0,1].set_xlabel('Abstract Word Count')\n",
        "            axes[0,1].set_ylabel('Frequency')\n",
        "            axes[0,1].set_title('Distribution of Abstract Lengths')\n",
        "\n",
        "        try:\n",
        "            dates = pd.to_datetime(df['date'], errors='coerce')\n",
        "            valid_dates = dates.dropna()\n",
        "            if not valid_dates.empty:\n",
        "                axes[1,0].hist(valid_dates, bins=10, color='lightgreen', alpha=0.7)\n",
        "                axes[1,0].set_xlabel('Publication Date')\n",
        "                axes[1,0].set_ylabel('Number of Papers')\n",
        "                axes[1,0].set_title('Publication Timeline')\n",
        "                plt.setp(axes[1,0].xaxis.get_majorticklabels(), rotation=45)\n",
        "        except:\n",
        "            axes[1,0].text(0.5, 0.5, 'Date parsing unavailable', ha='center', va='center', transform=axes[1,0].transAxes)\n",
        "\n",
        "        all_titles = ' '.join(df['title'].fillna('').astype(str))\n",
        "        if all_titles.strip():\n",
        "            clean_titles = re.sub(r'[^a-zA-Z\\s]', '', all_titles.lower())\n",
        "\n",
        "            try:\n",
        "                wordcloud = WordCloud(width=400, height=300, background_color='white',\n",
        "                                    max_words=50, colormap='viridis').generate(clean_titles)\n",
        "                axes[1,1].imshow(wordcloud, interpolation='bilinear')\n",
        "                axes[1,1].axis('off')\n",
        "                axes[1,1].set_title('Common Words in Titles')\n",
        "            except:\n",
        "                axes[1,1].text(0.5, 0.5, 'Word cloud unavailable', ha='center', va='center', transform=axes[1,1].transAxes)\n",
        "\n",
        "        plt.tight_layout()\n",
        "        plt.show()\n",
        "\n",
        "    def comparative_analysis(self, topic1, topic2):\n",
        "        \"\"\"Compare two research topics\"\"\"\n",
        "        print(f\"🔬 Comparing '{topic1}' vs '{topic2}'\")\n",
        "\n",
        "        papers1 = self.search_papers(topic1)\n",
        "        papers2 = self.search_papers(topic2)\n",
        "\n",
        "        avg_length1 = sum(p['word_count'] for p in papers1) / len(papers1) if papers1 else 0\n",
        "        avg_length2 = sum(p['word_count'] for p in papers2) / len(papers2) if papers2 else 0\n",
        "\n",
        "        print(\"\\n📈 Comparison Results:\")\n",
        "        print(f\"Topic 1 ({topic1}):\")\n",
        "        print(f\"  - Papers found: {len(papers1)}\")\n",
        "        print(f\"  - Avg abstract length: {avg_length1:.1f} words\")\n",
        "\n",
        "        print(f\"\\nTopic 2 ({topic2}):\")\n",
        "        print(f\"  - Papers found: {len(papers2)}\")\n",
        "        print(f\"  - Avg abstract length: {avg_length2:.1f} words\")\n",
        "\n",
        "        return papers1, papers2\n",
        "\n",
        "    def intelligent_query(self, question):\n",
        "        \"\"\"Use AI agent to answer research questions (requires Gemini API)\"\"\"\n",
        "        if not self.agent:\n",
        "            print(\"❌ AI agent not available. Please provide Gemini API key.\")\n",
        "            print(\"💡 Get free API key at: https://makersuite.google.com/app/apikey\")\n",
        "            return None\n",
        "\n",
        "        print(f\"🤖 Processing intelligent query with Gemini: '{question}'\")\n",
        "        try:\n",
        "            response = self.agent.run(question)\n",
        "            return response\n",
        "        except Exception as e:\n",
        "            print(f\"❌ Error with AI query: {str(e)}\")\n",
        "            return None"
      ],
      "metadata": {
        "id": "c8HTlYq2XBk3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "SvJsK6uxWPUc",
        "outputId": "5d578bc1-9aec-4054-b1b4-57becbdcb9e1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.5/2.5 MB\u001b[0m \u001b[31m20.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.0/42.0 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.2/45.2 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.9/50.9 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h🚀 Advanced PubMed Research Assistant Tutorial\n",
            "==================================================\n",
            "\n",
            "1️⃣ Basic PubMed Search\n",
            "🔍 Searching PubMed for: 'CRISPR gene editing'\n",
            "Too Many Requests, waiting for 0.20 seconds...\n",
            "Too Many Requests, waiting for 0.40 seconds...\n",
            "✅ Found 0 papers\n",
            "\n",
            "\n",
            "2️⃣ Research Trends Analysis\n",
            "📊 Analyzing research trends...\n",
            "🔍 Searching PubMed for: 'machine learning healthcare'\n",
            "Too Many Requests, waiting for 0.80 seconds...\n",
            "✅ Found 0 papers\n",
            "🔍 Searching PubMed for: 'CRISPR gene editing'\n",
            "Too Many Requests, waiting for 1.60 seconds...\n",
            "✅ Found 0 papers\n",
            "🔍 Searching PubMed for: 'COVID-19 vaccine'\n",
            "Too Many Requests, waiting for 3.20 seconds...\n",
            "✅ Found 1 papers\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1200 with 4 Axes>"
            ],
            "image/png": 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Rkptp06aN3VBASdtOSuydLklWq1XNmjWTJIWFhclms0mSKlasqCpVqkj63/6vXbu2ChQooMcee+ye2yzp9ZYrVy41b95cOXLkkJQ4rI2/v7+sVqsKFix4z+Wklb+/vwoVKqSwsDBJib84KF26tN2QUpUqVTJeCwMGDNCCBQsUGxurM2fOKDIyUrlz51ZERIRxcdISJUqoVq1axjpGjBihMmXK6KGHHtKjjz6aah1xcXGaNm2aEYIPGzbM+HXH3Yaz6t69u1q1aiUp8T0w6RcTUuJ1H5JC/5kzZxo90Hv06GE3dMr06dPVqFEjnT9/XufPn9fmzZvVrFmzB35NxcfHa+rUqcqXL58x7fjx4zp58qSkxOtOTJgwwfjF0Ntvv619+/aZDqMFAACQEQjRAQBAptq6davRczg1FSpU0FtvvZWu60zeK1eSXXB15coVhYeHpzrGb/369fX5558rJiZGO3fuVJMmTYze2T4+PqpRo0aqIfqBAweMv0uUKGEE6FJiWB0YGKhjx45p//79iouLU0JCgk6cOGHMc+fYxnXq1HHsCd9hypQpdr3G7xQQEKBp06YZdYaFhemvv/4y7k8KO5NUrlxZhw4d0o0bN3To0CFVrVrVLvR77733tH//fj311FMKCgpSuXLljN7lSQ4ePGj8XbFiRbvxw0uUKCE/Pz9dv35de/bsMaaPHDky1foLFSpk/J0UUN7JarWm2I6XLl2yG27nzl8WJA2nYsbHx8dumW5ubqpQoYLxy4GkYPxekveqbdq0qd3fkydPNua5W4heqFAhu7G3/fz8FBgYaASrly9fVtGiRZU7d27T55WW7ZhckyZNNGbMGN28eVPbtm1TXFyc3N3ddfz4cV24cEFSYg/ihx56SFLiLxrc3d0VFxenpUuXKjw8XE8//bSCgoJUunRpdezY8Z7rTPLoo4/q7NmzunHjhlq2bKkmTZroiSeeUOXKlTNsqA8vLy/j76RfJjRq1CjV/eLp6al8+fIZ2yE6Olq5c+dWQECAcufOrcjISO3Zs0edO3dWvXr1jOPk5ZdfvmsNzz//vN2wOclD6bu93lJ7D0wK0ZNeI/Hx8frhhx+MeRo2bGj3GA8PD9WpU0cLFiyQlDi0SrNmzR74NVWxYkW7AF1K7OGfpHTp0imG3Kpbty4hOgAAyFSE6AAAIEsoUaKEWrZsqS5duhi9StNLkSJF7G7fGchERESkGqJXrFhRRYoUUVhYmLZs2aImTZpo8+bNkhKD7eRhVnLJe30fOXLE9EuD2NhYnTt3Tt7e3oqPjzetL3/+/LJarXZjFKeXtm3baujQocawC1Li2OPJJV3kLzW///67qlatqvr166t58+Zas2aNbt68qSVLlmjJkiWSErd/q1at1LlzZ+XJk0eS/TbatGmT6TYKCwvTrVu3lCNHDkVHR2vOnDnaunWrLly4YDeG+73kzp07xf66dOmS8beHh4fdRUnTomDBgkav8STJl5F8CBUzUVFRxvBAuXLlMsbMT153ZGSkvv32W129etW0Z3vysPJetZw7d06ff/659u/fr8uXLxtjUSeX1GP8bnx8fNSoUSOtWLFCkZGR2r9/v2rUqGE3lEvy3vt58+bViBEjNHLkSNlsNm3bts34wsHf31/169dX9+7dVaJEiXuuO+kCsZcvX9aZM2eMENfd3V1BQUHq2LGjmjRpcs/lOOLatWvG38m3bWhoqL766iudPn1af//9d6r7PWl7uru7a9y4cerXr59iY2ON8f+lxJD+mWeeUffu3VWxYsVUa7izd31aX293ew+8ceOGYmJiFBUVZTfGfGoXZi1QoIDxd9IXBNKDvaaSvmRJLvlQSKldsyK1xwAAAGQkQnQAAJCpnn76aY0dO9a4bbVa5evraxpIJ3dnCJN0cUhHORJGN2jQQHPnztX333+vs2fPGj3Gn3/++fta952uXbtm18NV+t+F9ZIkJCSkKdQ0ExwcrC5duhi3Z86cqUmTJklKvADknUGwI5KCRYvFookTJ6p58+ZavXq19u7dawTlYWFhmj59ujZv3qwFCxYYQXpa2Gw2Xb9+Xf7+/nr11VftAmZHJL9wYpIH/VLiXhe/TIsNGzYYY0nfvHnTtLd9XFyc1qxZY7cf76eWP//8U23btrULhB9EmzZtjOE6Nm/erBo1amjHjh2SErf5nT2g27dvryeeeEJff/21vv/+e+OiudeuXdOyZcu0ceNGzZ071zRETlK0aFFt2LBBS5Ys0bZt23To0CHdunVLcXFx2r9/v/bv369ff/1VgwYNSpfnefnyZbue3knj/M+dO9fu/Swt6tSpo40bN+qrr77Sd999pxMnTighIUE3btzQxo0btXXrVk2ZMsVueJwk6fGak1K+9lN7D7jXe07SGPEP+ppK7dhMvu7UrgeQEV8oAgAA3A0hOgAAyFSenp6p9iw04+bmZvx9Z0jzxx9/pGkZFy9eNEIvKeWwB3cbt7phw4aaO3euIiMj9fnnn0tK7DH69NNPmz4meS/JJ598Up988onpvLlz55bNZrPraX758mW7Hp/nz59/oBD9Tl26dNGyZct09uxZhYWFacqUKRoyZIhxf/L94+7uru3bt5sG7cl7sEuJY7gnjQt9/vx5/fDDDwoJCdGpU6d08uRJLV68WH369LFbR7NmzezWf6e8efNq06ZNRoCeI0cOjRw5UlWrVlXOnDm1f/9+DRgwwOHtkHw/xcbGphjWJyIiQuHh4ZISe/zeOeREeli+fHma512xYoVpiJ5WISEhxnFUtGhRvf/++3rkkUfk7u6uzz//3BiqI62qVq2q4sWL648//lBoaKjeeOMN/fLLL5ISh0O68/UhJV5U9D//+Y+kxG188OBBLVmyRDt27FB0dLQ++eQTu7Hqzfj4+Khr167q2rWrYmNj9euvv2rbtm2aN2+ebt68qVmzZqlTp07pMjZ68v1UokQJFS1a1BifPMkLL7ygLl26KCAgQBaLRa1atUrxq44kDz/8sN555x1Jib9G+Omnn7R69WqtXr1asbGxGj9+fKoh+v26ePGiihUrZtxO/h7o7e2tHDlyyN3dXV5eXkYv8rCwsBTvjcmHeUr69UN6v6Yk+/fk5L9aSZJ0XQoAAIDMYnV2AQAAAHeTPOj87rvv7O776quv0rSMpHHMk3z77bfG30WKFLEbs/xOTzzxhBH4Jo1d/fTTTytnzpymj0k+NvXp06fl6+ur/PnzG/+uXbumW7duKVeuXPLw8JCnp6fdEBZJQ1wk2bhx4z2foyM8PT3tLlQ6f/58/frrr8btwoULG8FjXFycLl68aFf/7du3FR0dLQ8PD2M7JAWhc+fONZbz8MMPq23btpo4caIxLSmESz7O+m+//aZ8+fLZrePq1auKjY2Vt7e3rFar3RcmlStXVuvWrVW0aFHlz59fx44dM+5LPizOvRQuXNhuyIo7t/t7772nJk2aqEmTJlq3bl2al5tWf/zxh3EhVH9/fx05ckS//fZbin9JQ3EcP37cuBjrg6wzSatWrVSzZk0VKlRI+fLlsxuH2pHt2Lp1a0mJweyUKVOML4NatmxpN9/p06e1Zs0aTZkyxRgfO0+ePKpfv75mzJghPz8/SfZBbWquX7+u7du3a86cOcYY3h4eHqpUqZIGDBhgXCA36QK6D+rYsWPGF2iSjAt5Xr16Vf/8848x/c033zQuDHr9+nW7AD1pm4SFhWn9+vWaPn268Tx9fHz09NNPa8KECcYFee+1DRx1t/fApOsVuLm5qVq1asb0O6/3cPv2bbuhepKu3ZARr6mk7SBJp06dsgvNExISUjwfAACAjEZPdAAAkKVVqFBBq1atkiR988038vX1VaVKlbRu3TqdOnUqTcv45ptvVLJkSdWsWVNHjhzRhAkTjPuaNWt218daLBY1bNhQCxcuNIKwu13gUZKKFy+uZ555Rrt27VJERITeeustvfbaawoICNDWrVs1btw42Ww2VaxYUd98840sFouaNGliXERy9uzZKlKkiJ588kn9+OOPmjFjRpqepyNq166tBg0aaMuWLYqPj9fw4cO1ZMkSo+d/p06djPD7nXfeUXBwsEqWLKnjx49r2LBhioiIkJeXl7Zs2aJ8+fJpxowZ2rVrlyQpJiZGDRs2lLe3tyIiIhQSEmKs97HHHpMkVa9eXaVKldLJkyd18uRJDRs2TJ06dZKXl5eWLl2qL774QlLitp48ebJdz9Tjx4/rwIEDypMnj0JDQ/Xll1/K19dX//zzj06dOqUTJ06kGAPazKuvvmoMxzFhwgT5+fmpdOnSCg0NNca/9/X1zZCLVSa/oGj9+vXtLq6aXOPGjTVr1ixJib3Rg4OD73udybfjrl271KhRI8XExGju3Ll2QeX+/ft1/vz5NPXifuGFFzRlyhTFx8frm2++kZT4a4aaNWvazbdt2zbjNXXmzBn17NlTefPmNS5Mev36dUn/e42YuXHjhjGmeOHChfXee+/psccek8Vi0enTp40vQzw8PBQYGHjvjfL/bDab0evZZrMpPDxcW7du1axZs4ze2Q0aNDC+HPD395eHh4cx/NLy5cvVsmVLnTx5UuPGjVPevHmNsb23bdum5s2b69ChQ8avJvbu3auBAweqYMGCun37tvbt26fff/9dklSqVKk0150Wn376qQoWLKhy5crpu+++s/uyK/l7YM+ePbVz504lJCRo3rx5xpccERERmjx5sjEOeunSpY2e8hnxmipfvrwCAwN19uxZ2Ww2vfXWWxo2bJh8fHw0d+5cYxggAACAzEKIDgAAsrQ2bdro888/15UrV2Sz2Yww0c3NTZ9++ql69+59z2W88sor+u9//5tiemBgoHr06HHPxyeF6FLiUCJJw5XczahRo9SxY0edP39e27dvt+vBKUn58uXTuHHjjGFSXn31Va1Zs0a///67bt26pWHDhhnzduvWTQsXLrzvMeDNBAcH69tvv1VMTIyOHj2qBQsWGMOFdO3aVfv379fOnTt15swZo/dtEnd3d40ePdoY4iQ4OFgnTpzQxYsX9fHHH+vjjz9Osb6KFSsavYSTxlDv0qWLIiIitGzZMi1btsxu/sDAQA0fPlxSYpg+bdo0Xbx4UdeuXdPLL79szPfee+/phx9+0KZNm3Tt2jU1b95cY8eOTVOQ/sorr+jgwYPavHmzIiMj1a9fP7v7PT09NW7cuFQvPPsgbDab8eWQpLteBLNJkybG637NmjUaPHjwfY+N3blzZ61bt07x8fE6dOiQmjZtKilxiKJ58+apd+/eCg8P14EDB1SvXj1t3br1nsssUKCAateurZ07dxrDDjVt2tRuKCYp8YuZXbt2ad++fVq/fr3Wr1+fYlkBAQF666237rq+ggULasiQIRo1apT++usv0/eAgQMH3vVXJneKiooyelenpnXr1ho5cqRxzObMmVPt27c3hiuZOnWqpk6dKinxlxaDBw9W3759JUljx47V1q1bNX/+fG3ZskXr16/X3r179eKLL6ZYj5eXl4YOHZrmuu/Fw8NDrVu31ttvv53ivqCgILVp08a4XaVKFQ0bNkyjR49WfHy8Jk2aZFw/IUnRokU1depUY/9mxGvKYrFo+PDh6tWrlxISEnT06FF17NjReD5du3Y1jgkAAIDMwHAuAAAgS/Py8tKXX36punXrysfHR15eXnriiSf0xRdf6LnnnktxUU4pcQiS5N58802NGTNGpUuXlqenp/Lmzat27dpp0aJFxhASd1O1alUjRK1Vq1aq4zzfqUCBAlq+fLn69OmjkiVLKmfOnPL09NQjjzyibt26afXq1XZDuHh7e+vLL7/UCy+8oNy5cytHjhwqVaqUgoOD9c477zgUBqZVkSJF7ALIyZMnG8NIuLu767PPPtPIkSMVFBQkHx8fubu7q0CBAmrRooWWLVtmF/w++uijWrJkiXr16qVSpUrJ399fbm5u8vf3N4K5hQsXKkeOHMZjypQpo1WrVqlTp04qXry4PD09lTNnTpUuXVpvvvmmli9fbgyl4+vrq5CQEDVo0ED58uWTl5eXKleurE8//VQdO3ZU//79VbZsWbm7u6cYpuVurFarJk+erHHjxumpp56Sn5+fPDw8VKhQIbVu3VorV65U/fr102Nz29m3b5/CwsIkJQ5pUr16ddN5y5Urp+LFi0tKHEIk+VAcjqpYsaJmzpypoKAg+fr6yt/fX/Xq1dPixYtVsWJFvf/++ypUqJDc3d1VpkyZVI+v1CQPYqWUQ7lIiReQnD17toKDgxUUFKS8efMa43CXLl1aPXv21OrVq/Xoo4/ec32dOnVSSEiIGjdurMKFCytnzpzGfmvcuLHmz5+vrl27pm2jmMiVK5cCAwPVrl07LVmyRGPHjrV7/UrS4MGD1a9fPwUGBipHjhwqUqSI+vTpo5CQENWvX1+tW7eWl5eXvLy8VLZsWVksFn300UcaPXq0qlevrvz58xvDIj366KN6+eWXtWrVKj355JMPVHvyoVP8/f2N95HAwEB5eHioYMGC6tatm2bPnp3iC5lOnTpp2bJlatmypQoVKiQPDw95e3urfPnyGjBggFauXGm8HqWMe009/fTTmj17toKCgpQzZ075+fmpdu3a+vLLL1WrVq0H2j4AAACOstjS8ypVAAAAAFzOoUOHjF7VpUqV0tq1a51cEQAAAJB+6IkOAAAA4IHMnj3b+Lt9+/ZOrAQAAABIf4yJDgAAAMBhP//8s27cuKFt27Zp06ZNkqSHHnpIbdu2dXJlAAAAQPoiRAcAAADgsEmTJmnfvn3GbavVqg8++EA5c+Z0YlUAAABA+iNEBwAAAOCw3Llzy8PDQzly5FCZMmX01ltvqWrVqs4uCwAAAEh3XFgUAAAAAAAAAAATXFgUAAAAAAAAAAAThOgAAAAAAAAAAJggRAcAAAAAAAAAwAQhOgAAAAAAAAAAJgjRAQAAAAAAAAAwQYgOINsbMmSISpcubfevfPnyatSokaZPn67bt287u8QHdv78+RTPMfm/smXLOrtEOy+++KI6d+5sev/y5ctVunRpnT59Ot3Wea9tlPRv79696bK+qVOnqnTp0rp161a6LA8AACC93Nk+Ll++vJ577jm99dZb2rNnT4r569atqwEDBmRIHbVq1crw9UhS586d9eKLL2bIsu/XwoULVbNmTVWoUEEXLly467zBwcEqXbq0JkyYkOr9GbntnO3f8NySPr+cP3/e2aUAyCDuzi4AADJDQECAVq9ebdy+fv269uzZo4kTJ+r06dP66KOPnFhd+hk0aJBatWqVYrrFYsn8YrKYQoUKaffu3cbtP/74Qy+//LKGDh2qJk2aGNP9/f3TZX3dunVT+/btlSNHjnRZHgAAQHpK3j6+ffu2/vzzT61du1bdunXTq6++qiFDhhjzLl26VB4eHmle9rJly7Ry5UotWLDgrvMNGzZMsbGx9/cE7qFOnToaN26cqlWrJimxg0NWM2HCBFWpUkXvv/++8ufPbzpfVFSUNm7cqNKlS2vVqlV6++235ebmliE13bndMlpmry+9TJkyRX/99ZfGjRvn7FIAZBJCdAAuwWq12jVM8+fPrxIlSig8PFzTp0/XO++8o4IFCzqxwvTh4+Nz1wa4K3Nzc7PbNtevX5ck+fr6Zsg28/b2lre3d7ovFwAAID3c2T4uUqSIatSooRo1amjgwIEqWbKk2rZtKykxcHfETz/9lKb5fH19HVpuWl26dEl//fWX3bTcuXNnyLru1+3bt3Xz5k1VrlxZRYoUueu869evV0JCgsaMGaM2bdpo586dqlu3brrXlNp2y0iZvb709NNPP6lAgQLOLgNAJmI4FwAurUyZMpJkNN7i4uI0efJk1atXT+XKlVOtWrX05ptv2v0sL+mnej///LO6du2qypUrq3r16ho/frzi4+ON+aKiovTBBx/o+eefV4UKFVS/fn3NnDlTNpvNmKdu3boaNWqUgoODValSJW3btk02m00zZszQ888/r4oVK6p69erq27evzp07ly7P+dKlSxo4cKCqV6+u8uXLq379+poyZYri4uLs6rrzJ5N3DrEyZMgQtWzZUnv37lXr1q1VqVIlNWjQQCtWrLB7XGhoqBo1amQMobN+/fo013rx4kV1795dlStXVrVq1TR69GjFx8crPDxcFSpUSLVHUffu3dWuXTtHNomdf/75R++9955q166t8uXL69lnn9WoUaN048YNY57OnTurW7duWr9+vZ5//nmVL19eTZs21c6dO415UhvOZcWKFWrevLkqVqyo+vXra/LkyXbbHQAAwNmaNWumGjVqaObMmca0O9uGixcvVvPmzVW5cmVVrVpV3bp109GjRyUltpOWLFmiffv2qXTp0lq+fLn27t2r0qVLa8OGDWrevLlq1KghKeVwLkkWLlyoOnXqqHz58mrdurV+/vln477UHpM0bN+iRYu0d+9ePfPMM5KkV155xQib7xzO5fbt25o0aZLq1q2r8uXLq2bNmhoyZIiuXr1qt660tHdTs3z5cjVv3lwVKlRQlSpV1L17dx05ckSStHfvXlWoUEGSNG3atHsOA7JkyRLVr19f5cuXV1BQkJYtW2Y67922XVhYmN566y3VqlXL+HwydepUxcfH33W7vf766/rkk08UFBSkL7/8UpJ05swZ9evXT0899ZTKly+vBg0a6LPPPlNCQoJdPWbtX7P13S+bzaa5c+eqZcuWqly5smrWrKn//Oc/RscZybHPL40bN1aFChXUrFkz7dy5U927dzeGo6xbt66+//57rVixIsVwkBEREerbt6+CgoKMXxkkHz70bscOgKyNEB2ASzt79qykxKE+JGnGjBn64osvNHjwYIWGhuqzzz5TWFiY3nzzzRSPHTFihF5++WWtWrVKvXv3VkhIiGbPnm3c37dvX61du1b9+/fXunXr1LNnT02bNk3Tp0+3W87OnTvl7e2tNWvWqHr16lq6dKk+//xzDR48WBs3btTMmTN1/fp19e7d+4Gf761bt/TKK6/o2LFj+uijj7R+/Xr16NFDX3zxhen4incTHh6uadOmafjw4Vq5cqVKlCihESNGGGM6/v777+rfv79KlCih5cuXa/z48Vq8eLH+/PPPNC1/7Nixat26tVatWqXXXntNCxYs0Jw5cxQQEKCGDRtq5cqVdl9KhIeH64cffnigEL1Pnz7atm2bRo4cqQ0bNujdd9/V6tWr9c4779jNd+LECa1cuVIff/yxli5dqoIFC6pv374KCwtLdblr1qzRsGHD1KZNG61Zs0ZDhgzR3Llzs81QQgAAIPuoV6+e/vjjj1R7Ce/Zs0cjR45U165dtW7dOi1YsED+/v7q1q2bbt68qalTp6pcuXIKCgrS7t277YbNmzFjhvr373/XEPrHH3/U3r179dlnn2nRokWy2Wx67bXX7Do03E1QUJAmTZokKbFTw9KlS1Odb/jw4frqq6/05ptvav369Ro7dqz27t2rnj17pmhf3q29m5qlS5cqODhY9evX18qVKzV37lzFxsbqlVde0cWLFxUUFKRt27ZJShwCcPfu3cbnkTv99ttv+uWXX4xfBST1RE8e9qd12w0ePFjh4eH64osvtGnTJg0cOFDz5s3T7Nmz77rdTpw4oT/++EPLli1Ty5YtZbPZ1KtXL124cEFz587Vpk2b1L9/f02fPl0LFy40Hne39m9a91NaffbZZxo3bpyaNm2q1atXa9y4cdq9e7f69u1rN9+99ufJkyfVv39/FStWTEuWLNHw4cM1adIku2s1LV26VAEBAWrcuLF2796toKAg475x48apWbNmWrlypbp166aFCxdq1apVku597ADI2gjRAbik2NhY7d69W3PmzFHDhg2NRmvHjh21evVqNWrUSIUKFVLFihXVtm1bHT16VOHh4XbLaN68uerXr6/ixYura9euqlKlitasWSNJOnTokPbs2aN33nlHTZo0UbFixfTSSy/ppZde0pw5c+x6I0RHR2vo0KEqVqyYvLy8dPToURUqVEj169d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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "DataFrame shape: (1, 5)\n",
            "\n",
            "Sample data:\n",
            "              topic                                              title  \\\n",
            "0  COVID-19 vaccine  Attitudes Towards the HPV Vaccine Among Oropha...   \n",
            "\n",
            "   word_count  \n",
            "0         201  \n",
            "\n",
            "\n",
            "3️⃣ Comparative Analysis\n",
            "🔬 Comparing 'artificial intelligence diagnosis' vs 'traditional diagnostic methods'\n",
            "🔍 Searching PubMed for: 'artificial intelligence diagnosis'\n",
            "Too Many Requests, waiting for 6.40 seconds...\n",
            "✅ Found 0 papers\n",
            "🔍 Searching PubMed for: 'traditional diagnostic methods'\n",
            "Too Many Requests, waiting for 12.80 seconds...\n",
            "✅ Found 0 papers\n",
            "\n",
            "📈 Comparison Results:\n",
            "Topic 1 (artificial intelligence diagnosis):\n",
            "  - Papers found: 0\n",
            "  - Avg abstract length: 0.0 words\n",
            "\n",
            "Topic 2 (traditional diagnostic methods):\n",
            "  - Papers found: 0\n",
            "  - Avg abstract length: 0.0 words\n",
            "\n",
            "\n",
            "4️⃣ Advanced Features\n",
            "Cache contents: ['CRISPR gene editing', 'machine learning healthcare', 'COVID-19 vaccine', 'artificial intelligence diagnosis', 'traditional diagnostic methods']\n",
            "Latest cached query: 'traditional diagnostic methods'\n",
            "Cached papers count: 0\n",
            "\n",
            "✅ Tutorial complete!\n",
            "\n",
            "Next steps:\n",
            "- Add your FREE Gemini API key for AI-powered analysis\n",
            "  Get it at: https://makersuite.google.com/app/apikey\n",
            "- Customize queries for your research domain\n",
            "- Export results to CSV with: df.to_csv('research_results.csv')\n",
            "\n",
            "🎁 Bonus: To test AI features, run:\n",
            "researcher = AdvancedPubMedResearcher(gemini_api_key='your-key')\n",
            "response = researcher.intelligent_query('What are the latest breakthrough in cancer treatment?')\n",
            "print(response)\n"
          ]
        }
      ],
      "source": [
        "def main():\n",
        "    \"\"\"Main tutorial demonstration\"\"\"\n",
        "    print(\"🚀 Advanced PubMed Research Assistant Tutorial\")\n",
        "    print(\"=\" * 50)\n",
        "\n",
        "    # Initialize researcher\n",
        "    # Uncomment next line and add your free Gemini API key for AI features\n",
        "    # Get your free API key at: https://makersuite.google.com/app/apikey\n",
        "    # researcher = AdvancedPubMedResearcher(gemini_api_key=\"your-gemini-api-key\")\n",
        "    researcher = AdvancedPubMedResearcher()\n",
        "\n",
        "    print(\"\\n1️⃣ Basic PubMed Search\")\n",
        "    papers = researcher.search_papers(\"CRISPR gene editing\", max_results=3)\n",
        "\n",
        "    if papers:\n",
        "        print(f\"\\nFirst paper preview:\")\n",
        "        print(f\"Title: {papers[0]['title']}\")\n",
        "        print(f\"Date: {papers[0]['date']}\")\n",
        "        print(f\"Summary preview: {papers[0]['summary'][:200]}...\")\n",
        "\n",
        "    print(\"\\n\\n2️⃣ Research Trends Analysis\")\n",
        "    research_topics = [\n",
        "        \"machine learning healthcare\",\n",
        "        \"CRISPR gene editing\",\n",
        "        \"COVID-19 vaccine\"\n",
        "    ]\n",
        "\n",
        "    df = researcher.analyze_research_trends(research_topics)\n",
        "\n",
        "    if df is not None:\n",
        "        print(f\"\\nDataFrame shape: {df.shape}\")\n",
        "        print(\"\\nSample data:\")\n",
        "        print(df[['topic', 'title', 'word_count']].head())\n",
        "\n",
        "    print(\"\\n\\n3️⃣ Comparative Analysis\")\n",
        "    papers1, papers2 = researcher.comparative_analysis(\n",
        "        \"artificial intelligence diagnosis\",\n",
        "        \"traditional diagnostic methods\"\n",
        "    )\n",
        "\n",
        "    print(\"\\n\\n4️⃣ Advanced Features\")\n",
        "    print(\"Cache contents:\", list(researcher.research_cache.keys()))\n",
        "\n",
        "    if researcher.research_cache:\n",
        "        latest_query = list(researcher.research_cache.keys())[-1]\n",
        "        cached_data = researcher.research_cache[latest_query]\n",
        "        print(f\"Latest cached query: '{latest_query}'\")\n",
        "        print(f\"Cached papers count: {len(cached_data['papers'])}\")\n",
        "\n",
        "    print(\"\\n✅ Tutorial complete!\")\n",
        "    print(\"\\nNext steps:\")\n",
        "    print(\"- Add your FREE Gemini API key for AI-powered analysis\")\n",
        "    print(\"  Get it at: https://makersuite.google.com/app/apikey\")\n",
        "    print(\"- Customize queries for your research domain\")\n",
        "    print(\"- Export results to CSV with: df.to_csv('research_results.csv')\")\n",
        "\n",
        "    print(\"\\n🎁 Bonus: To test AI features, run:\")\n",
        "    print(\"researcher = AdvancedPubMedResearcher(gemini_api_key='your-key')\")\n",
        "    print(\"response = researcher.intelligent_query('What are the latest breakthrough in cancer treatment?')\")\n",
        "    print(\"print(response)\")\n",
        "\n",
        "if __name__ == \"__main__\":\n",
        "    main()"
      ]
    }
  ]
}